Add classification tutorial #3153
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## develop #3153 +/- ##
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harimkang
previously approved these changes
Mar 19, 2024
docs/source/guide/tutorials/base/how_to_train/classification.rst
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Co-authored-by: Harim Kang <harim.kang@intel.com>
harimkang
approved these changes
Mar 19, 2024
jaegukhyun
approved these changes
Mar 19, 2024
sungchul2
reviewed
Mar 19, 2024
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| The training time highly relies on the hardware characteristics, for example on 1 NVIDIA GeForce RTX 3090 the training took about 3 minutes. | ||
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| After that, we have the PyTorch multi-class classification model trained with OpenVINO™ Training Extensions, which we can use for evaliation, export, optimization and deployment. |
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| After that, we have the PyTorch multi-class classification model trained with OpenVINO™ Training Extensions, which we can use for evaliation, export, optimization and deployment. | |
| After that, we have the PyTorch multi-class classification model trained with OpenVINO™ Training Extensions, which we can use for evaluation, export, optimization and deployment. |
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| Export | ||
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| 1. ``otx export`` exports a trained Pytorch `.pth` model to the OpenVINO™ Intermediate Representation (IR) format. | ||
| It allows running the model on the Intel hardware much more efficient, especially on the CPU. Also, the resulting IR model is required to run PTQ optimization. IR model consists of 2 files: ``openvino.xml`` for weights and ``openvino.bin`` for architecture. | ||
| It allows to efficiently run it on Intel hardware, especially on CPU, using OpenVINO™ runtime. | ||
| Also, the resulting IR model is required to run PTQ optimization in the section below. IR model contains 2 files: ``exported_model.xml`` for weights and ``exported_model.bin`` for architecture. |
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| Also, the resulting IR model is required to run PTQ optimization in the section below. IR model contains 2 files: ``exported_model.xml`` for weights and ``exported_model.bin`` for architecture. | |
| Also, the resulting IR model is required to run PTQ optimization in the section below. IR model contains 2 files: ``exported_model.xml`` for architecture and ``exported_model.bin`` for weights. |
| engine.optimize(checkpoint=ckpt_path) | ||
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| The optimization time highly relies on the hardware characteristics, for example on 1 NVIDIA GeForce RTX 3090 it took about 10 minutes. |
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Optimization doesn't use GPU.
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Summary
The same with the title
How to test
Checklist
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